This position is no longer accepting applications
Closed on August 29, 2026.
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Data Engineer, Analytics (Technical Leadership)
Big Data
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
ETL
Mapreduce
SQL
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Job Description
What Meta offers
Compensation ranges from USD 210,000 to 281,000 per year, with eligibility for a bonus, equity, and comprehensive benefits. This onsite role is based in San Francisco, CA.
Responsibilities
- Define and drive the data foundation and analytics vision to accelerate cross platform components for Instagram, and implement a plan to realize that vision.
- Own the data architecture for multiple large scale projects, evaluating design choices against operational costs and benefits.
- Develop and contribute to frameworks that improve how data is logged, collaborating with data infrastructure to triage and resolve issues.
- Establish cross functional partnerships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver accordingly.
- Set and manage service level agreements for data sets within ownership areas.
- Define and apply a security model aligned with privacy requirements, ensure safeguards, address data quality issues, and evolve governance processes in owned domains.
- Design, build, and deploy sophisticated data models and visualizations that support use cases across multiple products or domains.
- Address complex data integration challenges using optimal ETL patterns and techniques, sourcing from structured and unstructured data.
- Contribute to owning existing production processes and optimize code with advanced algorithms.
- Improve pipelines, dashboards, frameworks, and systems to streamline the development of data artifacts.
- Influence product and cross functional teams to identify data opportunities that drive impact.
- Mentor teammates through constructive feedback and collaborative coaching.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
- 10+ years of experience in the data warehouse space.
- 10+ years of experience designing, implementing, and maintaining custom ETL processes.
- 10+ years of experience with object oriented programming languages.
- 10+ years of experience with schema design and dimensional data modeling.
- 10+ years of experience authoring SQL statements.
- Experience analyzing data to identify deliverables, gaps, and inconsistencies.
- Experience managing and communicating data warehouse plans to internal clients.
Technologies
- Python
- SQL
- MapReduce
- MPP system
Preferred Qualifications
- BS/BA in a technical field, Computer Science or Mathematics.
- Experience with MapReduce or an MPP system.
- Knowledge and practical application of Python.
- Ability to work autonomously in global teams.
- Experience influencing product decisions with data.
- Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact.
- Experience adhering to responsible, ethical AI practices including risk assessment and bias mitigation.
- Ongoing AI skill development and staying current with emerging AI technologies.
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